ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2108.02297
  4. Cited By
Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting
  Spatio-Temporal Sparsity

Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-Temporal Sparsity

4 August 2021
Chang Gao
T. Delbruck
Shih-Chii Liu
ArXivPDFHTML

Papers citing "Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-Temporal Sparsity"

16 / 16 papers shown
Title
DPD-NeuralEngine: A 22-nm 6.6-TOPS/W/mm$^2$ Recurrent Neural Network Accelerator for Wideband Power Amplifier Digital Pre-Distortion
DPD-NeuralEngine: A 22-nm 6.6-TOPS/W/mm2^22 Recurrent Neural Network Accelerator for Wideband Power Amplifier Digital Pre-Distortion
Ang Li
Haolin Wu
Yizhuo Wu
Qinyu Chen
Leo C. N. de Vreede
Chang Gao
79
1
0
15 Oct 2024
Recurrent Neural Network Control of a Hybrid Dynamic Transfemoral
  Prosthesis with EdgeDRNN Accelerator
Recurrent Neural Network Control of a Hybrid Dynamic Transfemoral Prosthesis with EdgeDRNN Accelerator
Chang Gao
Rachel Gehlhar
Aaron D. Ames
Shih-Chii Liu
T. Delbruck
48
17
0
08 Feb 2020
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
Eran Malach
Gilad Yehudai
Shai Shalev-Shwartz
Ohad Shamir
96
274
0
03 Feb 2020
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in
  FPGAs
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs
Zhe Li
Caiwen Ding
Siyue Wang
Wujie Wen
Youwei Zhuo
...
Qinru Qiu
Wenyao Xu
Xinyu Lin
Xuehai Qian
Yanzhi Wang
MQ
40
65
0
12 Dec 2018
The PyTorch-Kaldi Speech Recognition Toolkit
The PyTorch-Kaldi Speech Recognition Toolkit
Mirco Ravanelli
Titouan Parcollet
Yoshua Bengio
VLM
OffRL
42
228
0
19 Nov 2018
C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques
  on FPGAs
C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs
Shuo Wang
Zhe Li
Caiwen Ding
Bo Yuan
Yanzhi Wang
Qinru Qiu
Yun Liang
45
193
0
14 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
200
3,457
0
09 Mar 2018
Alternating Multi-bit Quantization for Recurrent Neural Networks
Alternating Multi-bit Quantization for Recurrent Neural Networks
Chen Xu
Jianqiang Yao
Zhouchen Lin
Wenwu Ou
Yuanbin Cao
Zhirong Wang
H. Zha
MQ
67
116
0
01 Feb 2018
Learning Intrinsic Sparse Structures within Long Short-Term Memory
Learning Intrinsic Sparse Structures within Long Short-Term Memory
W. Wen
Yuxiong He
Samyam Rajbhandari
Minjia Zhang
Wenhan Wang
Fang Liu
Bin Hu
Yiran Chen
H. Li
MQ
62
141
0
15 Sep 2017
NullHop: A Flexible Convolutional Neural Network Accelerator Based on
  Sparse Representations of Feature Maps
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
Alessandro Aimar
Hesham Mostafa
Enrico Calabrese
A. Rios-Navarro
Ricardo Tapiador-Morales
...
Moritz B. Milde
Federico Corradi
A. Linares-Barranco
Shih-Chii Liu
T. Delbruck
131
244
0
05 Jun 2017
Delta Networks for Optimized Recurrent Network Computation
Delta Networks for Optimized Recurrent Network Computation
Daniel Neil
Junhaeng Lee
T. Delbruck
Shih-Chii Liu
83
66
0
16 Dec 2016
ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA
ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA
Song Han
Junlong Kang
Huizi Mao
Yiming Hu
Xin Li
...
Hong Luo
Song Yao
Yu Wang
Huazhong Yang
W. Dally
68
628
0
01 Dec 2016
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Dario Amodei
Rishita Anubhai
Eric Battenberg
Carl Case
Jared Casper
...
Chong-Jun Wang
Bo Xiao
Dani Yogatama
J. Zhan
Zhenyao Zhu
116
2,969
0
08 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
229
8,821
0
01 Oct 2015
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
825
23,310
0
03 Jun 2014
Speech Recognition with Deep Recurrent Neural Networks
Speech Recognition with Deep Recurrent Neural Networks
Alex Graves
Abdel-rahman Mohamed
Geoffrey E. Hinton
192
8,507
0
22 Mar 2013
1